Spatial-Mechanistic Model to Estimate Sub-National Tuberculosis Burden in Brazilian Municipalities
2022
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas of highest need. This study developed an approach for generating small area estimates of TB incidence, and the fraction of individuals missed by routine case detection, based on available notification and mortality data.
The approach is demonstrated by estimating TB outcomes for 5568 municipalities in Brazil, revealing substantial subnational differences in disease burden and other metrics useful for designing high-impact TB control strategies. This study demonstrated how granular disease burden estimates can be generated using routine data.
Spatial-Mechanistic Model to Estimate Sub-National Tuberculosis Burden in Brazilian Municipalities
Source:
Chitwood MH, Alves LC, Bartholomay P, Castro MC, Cohen T, Couto RM, Sanchez M, Menzies NA. A Spatial-Mechanistic Model to Estimate Sub-National Tuberculosis Burden with Routinely Collected Data: An Application in Brazilian Municipalities. PLOS Global Public Health 2022; 2 (9). https://doi.org/10.1371/journal.pgph.0000725